Background: Post-hemorrhagic hydrocephalus (PHH) is a common complication of cerebral, ventricular, and subarachnoid hemorrhage, and craniocerebral injury. There is lacking research on risk factors and prediction models associated with PHH. This present study aimed to analyze the risk factors of PHH and establish a risk-scoring system through a large-scale study. Methods: A retrospective study of 382 patients with intracranial hemorrhage assessed age, history and diagnosis, Glasgow coma score (GCS), and fever duration. After univariate and logistic regression analysis, risk scoring system was established according to independent risk factors. Area under curve (AUC) was used to evaluate the scoring system and validate the accuracy of the dataResults: Of the 382 patients, 133 (34.8%) had PHH, 43 (11.3%) received surgical treatment. We determined the age, GCS, days (total fever time when body temperature ≥ 38.5◦C), and cerebrospinal fluid total protein (CSF-TP) x time (from the onset of the disease to the obtainment of CSF-TP after lumbar puncture) as the important risk factors for PHH. Factor classification showed that age > 60 years old [odds ratio (OR): 0.347, II = 5 points], GCS < 5 (OR: 0.09, IV = 10 points), GCS 6-8 (OR = 0.232, III = 6 points), fever days > 9 (OR: 0.202, III = 7 points), fever days 5-9 (OR: 0.341, II = 5 points), CSF-TP x time > 14,4000 group (OR: 0.267, IV = 6 points), and CSF-TP x time 9,601-14,400 group (OR: 0.502, III = 3 points) were independent risk factors. The result of the receiver operating characteristic (ROC) prediction showed that AUC = 0.790 (0.744-0.836). Low-risk (IV-VII), moderate (VIII-X), and high-risk group (XI-XIII) incidence of PHH, respectively: 11.76%, 50.55%, and 70.00% (p < 0.001). The coincidence rates in the validation cohort were 26.00%, 74.07%, and 100.0% (p < 0.001), respectively. AUC value was 0.860 (0.780 - 0.941).Conclusion: The predictive model was conducive in determining the occurrence of PHH and facilitating early intervention.